AI Rapid Prototyping: From Idea to MVP in 4 Weeks.

Our standard sprint runs 4 weeks, structured across four phases: Discovery & Data, Pipeline Build, UI & Integration, and Demo & Roadmap. Some prototypes with well-defined use cases and clean data have been delivered in as little as 3 weeks.

You need a clear problem statement and access to relevant data, even if it's unstructured. We handle the tech selection, model evaluation, and pipeline setup. Our Discovery phase is specifically designed to audit what you have and identify any gaps before we build.

We select the best-fit foundation model based on your performance, cost, and privacy requirements, whether that's OpenAI, Mistral, Meta's LLaMA, or others. On the infrastructure side, we commonly use LangChain, Pinecone, Streamlit, Flowise, and the Vercel AI SDK depending on the use case.

You get a functional, testable MVP with a working UI, a connected data pipeline, and an executive demo. We also deliver a production roadmap outlining the effort, architecture, and cost required to scale the prototype into a full product.

Pricing depends on the complexity of the use case, data readiness, and integrations required. Contact us for a scoping call and we will provide a fixed-scope quote tailored to your project within one business day.

The prototype is yours. Many clients use the demo day output to secure internal buy-in or board approval for full development. If you choose to move forward with us, we transition seamlessly into full-scale AI development with the same team that built your prototype.